Diabetes Health

This project focuses on developing a machine learning model to predict the likelihood of diabetes based on patient health data.Early and accurate diabetes prediction is crucial for timely intervention and improved patient outcomes. I used a Random Forest classifier and achieved an accuracy of 92% on the test set.